Sr Data Scientist

PayPal is seeking a Sr Data Scientist to apply advanced statistical techniques and algorithms on complex datasets to build statistical or financial models for prediction of risk and revenue and driving actionable business insights for Bill Me Later, Inc. (BML) product or customer level credit risk management.

Requirements

• Master’s degree, or foreign equivalent, in Computer Science, Economics, Mathematics, Statistics, Engineering, Business Administration, or other quantitative field
• Three years of experience in credit risk analytics or strategy for consumer lending
• Experience in forecasting techniques/algorithms and automation with Python
• Machine learning (model development/deployment; optimization including parameter tuning, dimension reduction, feature selection, and model validation)
• Predictive analytics and segmentation (classification models, regression models, and statistical analysis)
• Experimental design (A/B testing)
• Profit & Loss (P&L) analytics
• Credit risk management / credit risk analytics
• Credit bureau analytics
• Python (pandas, numpy, and sklearn packages)
• SQL tools: Google Big Query and Teradata
• Data visualization (Tableau, Amplitude, and Q-monitor)
• Database management: Big data and cloud (Hadoop, Hive, Stampy, Teradata, and Google Big Query)

Benefits

• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security and support your mental health